How to print all colounm elements from a .dat file for large number of data(~10,000)

Question

Let's say I have a .dat file and try to print its first column using this code:

import numpy as np
data = np.loadtxt('d.dat', dtype='str')
a=data[:, 1]
print(a)

Now, when number of data is around 500, it prints all data. But for 5,000 numbers of data, it prints like this:

a=['1' '2' '3' .......'9' '10']

Now my question is how to print for large numbers of data like this:

a=['1' '2' '3' '4' '5' '6' '7' '8' '9' '10']

Does this answer your question? [Print all columns and rows of a numpy array](https://stackoverflow.com/questions/48603888/print-all-columns-and-rows-of-a-numpy-array) — mkrieger1, Nov 06 '20 at 20:42

score 1 · Answer 1 · answered Nov 06 '20 at 20:38

1

Solution from post: Print all columns and rows of a numpy array:

See the docs on print options. Specifically:

threshold : int, optional

Total number of array elements which trigger summarization rather than full repr (default 1000).

So setting threshold to np.inf means it is never summarized. np.set_printoptions(threshold=np.inf)

answered Nov 06 '20 at 20:38

Ingumeta

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1
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Yeah, it's worked. And thanks. It is basically increased the bits. – sd_Dhara.45 Nov 10 '20 at 18:48

How to print all colounm elements from a .dat file for large number of data(~10,000)

1 Answers1